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Causal Inference Project Ideation

Курс от University of Minnesota

Начальный≈ 11.7 чАнглийский

О курсе

Organizations can harness the power of causal inference through randomized field experiments, uncovering the true effects of interventions and enabling data-driven decision-making. In this course, we will delve into how companies are currently utilizing A/B testing. Additionally, we will explore the ethical considerations of conducting experiments and the econometric methods for analyzing causal relationships in observational data. Learning objectives: - Examine how companies are using field experiments for causal inference. - Analyze the ethical dimensions of field experiments. - Construct an issue tree for conducting randomized experiments about designing online referral bonus programs - Select a solution approach and define an experimental setup

Навыки, которые вы освоите

Experimentation Research Design Prioritization Project Design A/B Testing Statistical Inference Statistical Methods Business Analytics Complex Problem Solving Needs Assessment Research Methodologies AI Personalization Business Analysis Ideation Data Ethics

Программа курса

5 модулей · 43 учебных материалов

01Specialization and Course Overview3 материалов

Introduction to Analytics Project Ideation Specialization OverviewВидео Personal IntroductionВидео Course OverviewВидео

02Module 1: Overview of Causal Inference10 материалов

Module 1 Part 1: What is Causal Inference?

Course 3 Module 1 Overview VideoВидео

Учитесь у экспертов

Soumya Sen

Associate Professor

Causal Inference Project Ideation

О курсе

Навыки, которые вы освоите

Программа курса

Module 1 Part 1: What is Causal Inference?

Учитесь у экспертов

Soumya Sen

Module 1 Part 2: How are Companies Using Experiments to Personalize?

Module 1 Part 3: Considerations for RFTs

Module 1 Part 4: Working with Observational Data

Module 1 Wrap-up

Module 2 Part 1: RFT Experimental Setup

Module 2 Part 2: The Task of Randomization

Module 2 Wrap-up

Module 3 Part 1: High-level Needs Identification

Module 3 Part 2: SCQ Analysis (Referral bonus for online WOM)

Module 3 Part 3: Identifying Subproblems

Module 3 Wrap-up

Module 4 Part 1: Results Mapping

Module 4 Part 2: Experiment Design

Module 4 Part 3: Project Plan

Module 4 Wrap-up